engleski

Croatian HMM Based Speech Synthesis

The paper describes the development of a trainable speech synthesis system, based on hidden Markov models. An approach to speech signal generation using a source-filter model is presented. Inputs into the synthesis system are speech utterances and their phone level transcriptions. A method using context dependent acoustic models and Croatian phonetic rules for speech synthesis is proposed. Croatian HMM based speech synthesis experiments are presented and generated speech results are discussed.

corpus based speech synthesis; hidden Markov models; context-dependent acoustic modelling; Croatian speech corpora

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